Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion
Attacks in Deep RL

Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL

9 June 2021

Furong Huang

Papers citing "Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL"

14 / 14 papers shown

Title
Robust Deep Reinforcement Learning against Adversarial Behavior Manipulation Shojiro Yamabe Kazuto Fukuchi Jun Sakuma AAML 63 0 0 06 Jun 2024
Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses Thanh Nguyen Tung M. Luu Tri Ton Chang D. Yoo OffRL AAML 34 0 0 18 May 2024
Enhancing the Robustness of QMIX against State-adversarial Attacks Weiran Guo Guanjun Liu Ziyuan Zhou Ling Wang Jiacun Wang AAML 32 7 0 03 Jul 2023
Regret-Based Defense in Adversarial Reinforcement Learning Roman Belaire Pradeep Varakantham Thanh Nguyen David Lo AAML 23 3 0 14 Feb 2023
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning Maxwell Standen Junae Kim Claudia Szabo AAML 32 5 0 11 Jan 2023
A Survey on Reinforcement Learning Security with Application to Autonomous Driving Ambra Demontis Maura Pintor Luca Demetrio Kathrin Grosse Hsiao-Ying Lin Chengfang Fang Battista Biggio Fabio Roli AAML 42 4 0 12 Dec 2022
Adversarial Cheap Talk Chris Xiaoxuan Lu Timon Willi Alistair Letcher Jakob N. Foerster AAML 24 17 0 20 Nov 2022
Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning Jifeng Hu Yanchao Sun Hechang Chen Sili Huang Haiyin Piao Yi-Ju Chang Lichao Sun 15 5 0 14 Oct 2022
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning Yongyuan Liang Yanchao Sun Ruijie Zheng Furong Huang OOD AAML OffRL 28 47 0 12 Oct 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Bo-wen Li Ding Zhao 74 45 0 16 Sep 2022
Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems Yanchao Sun Ruijie Zheng Parisa Hassanzadeh Yongyuan Liang S. Feizi Sumitra Ganesh Furong Huang AAML 28 10 0 21 Jun 2022
On the Robustness of Safe Reinforcement Learning under Observational Perturbations Zuxin Liu Zijian Guo Zhepeng Cen Huan Zhang Jie Tan Bo-wen Li Ding Zhao OOD OffRL 42 35 0 29 May 2022
Reinforcement Learning for Feedback-Enabled Cyber Resilience Yunhan Huang Linan Huang Quanyan Zhu 16 66 0 02 Jul 2021
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary Huan Zhang Hongge Chen Duane S. Boning Cho-Jui Hsieh 67 162 0 21 Jan 2021